Evidence map›Paper›PMID 38446884›Full record

ArticleScience advances2024

Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells.

Fabio Marcuccio, Chalmers C Chau, Georgette Tanner, Marilena Elpidorou, Martina A Finetti, Shoaib Ajaib, Morag Taylor, Carolina Lascelles, Ian Carr, Iain Macaulay and 2 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  15. Single molecule delivery into living cells.Nature communications · 2024
    Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Fabio MarcuccioFaculty of Medicine, Imperial College London, London, UK.ORCID 0000-0003-4816-2896
Chalmers C ChauBragg Centre for Materials Research, University of Leeds, Leeds, UK.ORCID 0000-0002-3134-6798
Georgette TannerLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.ORCID 0000-0001-9706-3590
Marilena ElpidorouSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
Martina A FinettiLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Shoaib AjaibLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.ORCID 0000-0001-8521-7230
Morag TaylorLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Carolina LascellesLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Ian CarrLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.ORCID 0000-0001-9544-1068
Iain MacaulayEarlham Institute, Norwich Research Park, Norwich, UK.ORCID 0000-0002-6761-757X
Lucy F SteadLeeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.ORCID 0000-0002-9550-4150
Paolo ActisBragg Centre for Materials Research, University of Leeds, Leeds, UK.ORCID 0000-0002-7146-1854

Funding

Cancer Research UK 26815Medical Research Council MR/T020504/1
6 · The paper itself

Abstract

Single-cell RNA sequencing has revolutionized our understanding of cellular heterogeneity, but routine methods require cell lysis and fail to probe the dynamic trajectories responsible for cellular state transitions, which can only be inferred. Here, we present a nanobiopsy platform that enables the injection of exogenous molecules and multigenerational longitudinal cytoplasmic sampling from a single cell and its progeny. The technique is based on scanning ion conductance microscopy (SICM) and, as a proof of concept, was applied to longitudinally profile the transcriptome of single glioblastoma (GBM) brain tumor cells in vitro over 72 hours. The GBM cells were biopsied before and after exposure to chemotherapy and radiotherapy, and our results suggest that treatment either induces or selects for more transcriptionally stable cells. We envision the nanobiopsy will contribute to transforming standard single-cell transcriptomics from a static analysis into a dynamic assay.

Indexed as

Gene Expression ProfilingGlioblastomaBiological AssayCytoplasmCytosolHumansTranscriptome

Identifiers

PMID38446884
PMCPMC10917339

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.